Search (2 results, page 1 of 1)

  • × author_ss:"Vasudevan, M.C."
  1. Vasudevan, M.C.; Mohan, M.; Kapoor, A.: Information system for knowledge management in the specialized division of a hospital (2006) 0.00
    0.0026473717 = product of:
      0.0052947435 = sum of:
        0.0052947435 = product of:
          0.010589487 = sum of:
            0.010589487 = weight(_text_:a in 1499) [ClassicSimilarity], result of:
              0.010589487 = score(doc=1499,freq=10.0), product of:
                0.053105544 = queryWeight, product of:
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.046056706 = queryNorm
                0.19940455 = fieldWeight in 1499, product of:
                  3.1622777 = tf(freq=10.0), with freq of:
                    10.0 = termFreq=10.0
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.0546875 = fieldNorm(doc=1499)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    Information systems are essential support for knowledge management in all types of enterprises. This paper describes the evolution and development of a specialized hospital information system. The system is designed to integrate for access and retrieval from databases of patients' case records, and related images - CATSCAN, MRI, X-Ray - and to enable online access to full text of relevant papers on the Internet/WWW. The generation of information products and services from the system is briefly described.
    Source
    Knowledge organization, information systems and other essays: Professor A. Neelameghan Festschrift. Ed. by K.S. Raghavan and K.N. Prasad
    Type
    a
  2. Neelameghan, A.; Vasudevan, M.C.: Integrating image files, case records of patients and Web resources : case study of a knowledge base on tumours of the central nervous system (2004) 0.00
    0.0024857575 = product of:
      0.004971515 = sum of:
        0.004971515 = product of:
          0.00994303 = sum of:
            0.00994303 = weight(_text_:a in 2656) [ClassicSimilarity], result of:
              0.00994303 = score(doc=2656,freq=12.0), product of:
                0.053105544 = queryWeight, product of:
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.046056706 = queryNorm
                0.18723148 = fieldWeight in 2656, product of:
                  3.4641016 = tf(freq=12.0), with freq of:
                    12.0 = termFreq=12.0
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.046875 = fieldNorm(doc=2656)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    Case records of patients with brain tumours and the related image files (CATSCAN, MRI, X-ray, etc.) are information products generated and used by surgeons. A system has been developed to navigate within case records and link an to related image files. Hypertext links to relevant Web resources an brain tumours are also provided for from the case records. The collaborative and semantic dimensions of the knowledge base development are mentioned. Some 20 fields record administrative data and some 160 fields describe the characteristics of the tumour, its diagnosis, surgery, post-surgical complications, etc. This knowledge base forms part of a total system that includes three other databases of case sheets of patients (with tumours of the pituitary, spinal cord, and trauma), a bibliographic database, profiles of institutions, experts and projects.
    Type
    a